developer_uid: zonemercy
submission_id: chaiml-elite-feed-convo-_1137_v1
model_name: chaiml-elite-feed-convo-_1137_v1
model_group: ChaiML/Elite-Feed-Convo-
status: torndown
timestamp: 2024-09-11T21:15:51+00:00
num_battles: 10616
num_wins: 5432
celo_rating: 1250.34
family_friendly_score: 0.0
submission_type: basic
model_repo: ChaiML/Elite-Feed-Convo-v1-1e5ep2
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6176239087439848, 'latency_mean': 1.619021921157837, 'latency_p50': 1.6190965175628662, 'latency_p90': 1.7805872678756713}, {'batch_size': 3, 'throughput': 1.0835773512470994, 'latency_mean': 2.760998160839081, 'latency_p50': 2.755523443222046, 'latency_p90': 3.0493351936340334}, {'batch_size': 5, 'throughput': 1.2371354264620502, 'latency_mean': 4.022749562263488, 'latency_p50': 4.020741581916809, 'latency_p90': 4.466355895996093}, {'batch_size': 6, 'throughput': 1.2748920997484925, 'latency_mean': 4.680998382568359, 'latency_p50': 4.690432786941528, 'latency_p90': 5.318770384788513}, {'batch_size': 8, 'throughput': 1.2445489280726891, 'latency_mean': 6.397218989133835, 'latency_p50': 6.4078991413116455, 'latency_p90': 7.340734744071961}, {'batch_size': 10, 'throughput': 1.2125051749245404, 'latency_mean': 8.188314464092254, 'latency_p50': 8.250919580459595, 'latency_p90': 9.317851996421814}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-elite-feed-convo-_1137_v1
is_internal_developer: True
language_model: ChaiML/Elite-Feed-Convo-v1-1e5ep2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.21
us_pacific_date: 2024-09-11
win_ratio: 0.5116804822908817
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '{user_name}: {message}</s>', 'response_template': '{bot_name}:', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name chaiml-elite-feed-convo-1137-v1-mkmlizer
Waiting for job on chaiml-elite-feed-convo-1137-v1-mkmlizer to finish
chaiml-elite-feed-convo-1137-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ _____ __ __ ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ /___/ ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ Version: 0.10.1 ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ belonging to: ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ║ ║
chaiml-elite-feed-convo-1137-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-elite-feed-convo-1137-v1-mkmlizer: Downloaded to shared memory in 102.390s
chaiml-elite-feed-convo-1137-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0kaq9x3x, device:0
chaiml-elite-feed-convo-1137-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-elite-feed-convo-1137-v1-mkmlizer: quantized model in 41.267s
chaiml-elite-feed-convo-1137-v1-mkmlizer: Processed model ChaiML/Elite-Feed-Convo-v1-1e5ep2 in 143.657s
chaiml-elite-feed-convo-1137-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-elite-feed-convo-1137-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-elite-feed-convo-1137-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v1
chaiml-elite-feed-convo-1137-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v1/config.json
chaiml-elite-feed-convo-1137-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v1/special_tokens_map.json
chaiml-elite-feed-convo-1137-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v1/tokenizer_config.json
chaiml-elite-feed-convo-1137-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v1/tokenizer.json
chaiml-elite-feed-convo-1137-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v1/flywheel_model.0.safetensors
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Job chaiml-elite-feed-convo-1137-v1-mkmlizer completed after 167.46s with status: succeeded
Stopping job with name chaiml-elite-feed-convo-1137-v1-mkmlizer
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Creating inference service chaiml-elite-feed-convo-1137-v1
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Inference service chaiml-elite-feed-convo-1137-v1 ready after 171.23656821250916s
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Received healthy response to inference request in 3.4651246070861816s
Received healthy response to inference request in 2.3340866565704346s
Received healthy response to inference request in 2.2265186309814453s
Received healthy response to inference request in 2.3028581142425537s
Received healthy response to inference request in 1.6657023429870605s
5 requests
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5th percentile: 1.7778656005859375
10th percentile: 1.8900288581848144
20th percentile: 2.114355373382568
30th percentile: 2.241786527633667
40th percentile: 2.2723223209381103
50th percentile: 2.3028581142425537
60th percentile: 2.3153495311737062
70th percentile: 2.3278409481048583
80th percentile: 2.560294246673584
90th percentile: 3.012709426879883
95th percentile: 3.238917016983032
99th percentile: 3.419883089065552
mean time: 2.398858070373535
Pipeline stage StressChecker completed in 13.08s
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Inference service chaiml-elite-feed-convo-1137-v1-profiler ready after 170.40870547294617s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-elite-feed-co544f197275200d7d4b1e124050177f72-deplo87kbf:/code/chaiverse_profiler_1726089925 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-elite-feed-co544f197275200d7d4b1e124050177f72-deplo87kbf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726089925 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726089925/summary.json'
kubectl exec -it chaiml-elite-feed-co544f197275200d7d4b1e124050177f72-deplo87kbf --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726089925/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1160.72s
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